Waste Management Bulletin最新文献

{"title":"Corrigendum to “A comprehensive review of sustainable bioremediation techniques: Eco friendly solutions for waste and pollution management” [Waste Manag. Bull. 2 (2024) 154–171]","authors":"Narendra Kuppan, Midhila Padman, Manjushree Mahadeva, Subramani Srinivasan, Raajasubramanian Devarajan","doi":"10.1016/j.wmb.2026.100319","DOIUrl":"10.1016/j.wmb.2026.100319","url":null,"abstract":"","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 3","pages":"Article 100319"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148995199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate change mitigation through sustainable organic waste management: Case studies from Egypt and Jordan","authors":"Haniyeh Jalalipour,&nbsp;Hani Abu-Qdais,&nbsp;Sherien Elagroudy,&nbsp;Nehad Ahmed,&nbsp;Areen Ghawanmeh,&nbsp;Maisara Rabie,&nbsp;Abdallah Nassour","doi":"10.1016/j.wmb.2026.100368","DOIUrl":"10.1016/j.wmb.2026.100368","url":null,"abstract":"<div><div>Uncontrolled disposal of municipal solid waste (MSW), particularly waste with a high organic content, represents a major source of greenhouse gas (GHG) emissions in many developing countries. To support evidence-based planning, reliable estimates of the climate benefits associated with alternative waste management strategies are required. This study quantified GHG emissions from solid waste sectors of Jordan and Egypt using the GIZ GHG Calculator, an Excel-based life cycle assessment tool. Country-specific scenarios were developed using the best available primary data to represent existing waste management practices and future national strategies.</div><div>The analysis showed that informal recycling provides a substantial contribution to GHG mitigation through the recovery of recyclable materials, with Egypt achieving greater emission savings than Jordan due to the stronger activity of the informal sector, including the diversion of organic waste for livestock feed. The most advanced waste management scenarios reduced net GHG emissions by up to 19% in Jordan and 67% in Egypt compared with the Business as usual (BAU) systems. In Jordan, sanitary landfilling significantly improves environmental performance but becomes the largest remaining source of emissions. The planned development of a mechanical-biological treatment (MBT) facility plays a critical role in diverting MSW from landfills and mitigating emissions. In Egypt, the greatest mitigation potential is achieved by expanding collection services, eliminating open dumping, and directing the additional collected waste to resource recovery and treatment facilities. The findings demonstrate that maximizing GHG mitigation requires waste management strategies that reflect national conditions, existing infrastructure, and institutional priorities.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 3","pages":"Article 100368"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental and spatial patterns of disrupted solid waste management during ongoing war on Gaza","authors":"Samer Abuzerr,&nbsp;Issam A. Al-Khatib","doi":"10.1016/j.wmb.2026.100369","DOIUrl":"10.1016/j.wmb.2026.100369","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Disruption of solid waste management during war can generate severe environmental and public health risks, particularly in densely populated urban settings. Since the escalation of hostilities in the Gaza Strip in late 2023, widespread infrastructure destruction, population displacement, and interruption of municipal services have substantially affected waste collection and disposal systems. This study aimed to analyze the spatial distribution and environmental hotspots of disrupted solid waste management in the Gaza Strip using Geographic Information Systems (GIS)-based spatial analysis. A cross-sectional spatial analysis was conducted using field observations, humanitarian datasets, municipal records, and publicly available geospatial information. Spatial point data were compiled, cleaned, georeferenced, and analyzed in a common coordinate reference system. Kernel Density Estimation (KDE) was used as a descriptive method to identify relative hotspot intensity, and overlay analysis was applied to assess spatial coincidence with population density and displacement locations. Geocoded locations of waste accumulation and open burning sites were mapped across the Gaza Strip. Kernel Density Estimation (KDE) was applied to identify spatial hotspots, while overlay analysis was used to examine relationships between waste-related hotspots, population density, and displacement locations. The analysis identified 54 temporary dumpsites across the five governorates, representing an estimated cumulative waste volume of approximately 4,110,000 m&lt;sup&gt;3&lt;/sup&gt;. North Gaza contained the largest reported dumpsites, including a single temporary dumpsite in Jabalia estimated at 2400,000 m&lt;sup&gt;3&lt;/sup&gt;, while Gaza City, Khan Younis, and Rafah exhibited the most pronounced hotspot clustering. Waste accumulation and open burning were detected across all governorates, with high-intensity hotspots strongly associated with densely populated urban areas and displacement camps where municipal waste services were severely disrupted. Open burning hotspots frequently overlapped with waste accumulation zones, indicating areas of compounded environmental stress. Governorate-level analysis demonstrated substantial spatial variability in hotspot intensity and distribution, reflecting differences in population concentration, accessibility, infrastructure damage, and displacement pressure. The analysis was intended to identify relative spatial concentrations rather than estimate absolute waste quantities or infer causal relationships. The findings highlight the significant environmental consequences of war-related disruption of waste management systems and demonstrate the value of GIS-based approaches for identifying priority environmental risk zones under complex emergency conditions. Spatial hotspot analysis can support evidence-based humanitarian and environmental response planning by improving prioritization of emergency waste management interventions in conflict-affecte","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 3","pages":"Article 100369"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148951659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated circular economy approach for municipal solid waste management in the Addis Ababa–Adama corridor, Sub-Saharan Africa","authors":"Behnam Askari Lasaki,&nbsp;Shimelis Kebede Kassahun,&nbsp;Martin Oteng-Ababio,&nbsp;Kristina Henzler,&nbsp;Julia Weißert,&nbsp;Karoline Owusu-Sekyere,&nbsp;Dieter Steinbach,&nbsp;Oliver Assmann,&nbsp;Andrea Schultheis,&nbsp;Gerold Hafner","doi":"10.1016/j.wmb.2026.100366","DOIUrl":"10.1016/j.wmb.2026.100366","url":null,"abstract":"<div><div>Sub-Saharan Africa's municipal solid waste collection averages only 44% (2010–2018), and mismanaged waste is a growing environmental and public-health burden. The SuCCESS24 project developed and tested an integrated decision-support methodology, combining Material Flow Analysis (MFA), hotspot screening, scenario modeling, an SDG-based multi-dimensional sustainability assessment, and Obstacle-Based Planning (OBP) for the Addis Ababa–Adama corridor in Ethiopia, with transferability tested in Ghana. The functional unit was 1 tonne of municipal solid waste (MSW) generated per year; 68% of model parameters were primary data from structured interviews and 32% were secondary data. The organic fraction (65–69.5% of MSW) and its open disposal emerged as the dominant environmental hotspot. Diverting organic waste to composting cut greenhouse gas GHG emissions by 14–35% across corridor towns (up to 35% in Bishoftu, at a 50% diversion rate), and the SDG-based assessment linked this shift to safer formal employment and improved income security for waste workers. To address institutional fragmentation behind the corridor's 52% formal collection rate, the project proposes a Special-Purpose Association governance model. Together, the technical and governance findings show how corridor-scale MFA and institutional innovation can be combined to advance circular economy planning in Sub-Saharan Africa and support the UN 2030 Agenda.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 3","pages":"Article 100366"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial cost inequality in construction and demolition waste management in sparsely populated regions: Evidence from Extremadura, Spain","authors":"Jesús A. Torrecilla-Pinero,&nbsp;José M. Ceballos-Martínez,&nbsp;Pablo Plaza Caballero,&nbsp;Antonio Cruces López,&nbsp;Aurora Cuartero","doi":"10.1016/j.wmb.2026.100355","DOIUrl":"10.1016/j.wmb.2026.100355","url":null,"abstract":"<div><div>The efficient and equitable management of construction and demolition waste (CDW) is a critical challenge in sparsely populated regions, where low population density and territorial dispersion undermine the economic viability of recycling. This study presents a spatial cost analysis of CDW management in Extremadura, Spain — a region emblematic of rural depopulation — using road-network routing to allocate municipal waste flows to treatment plants and a multi-level framework (plant, municipality, and disaggregated flow) that integrates real transport distances with a nonlinear treatment-cost model capturing economies of scale through a piecewise logarithmic function. Results reveal significant spatial disparities in cost per tonne: the municipality-level mean is €15.82/t, ranging from approximately €5/t in well-served urban centers to nearly €50/t in the most remote municipalities, while the production-weighted average is €12.22/t. This inequity arises from the dual burden of high transport costs and elevated unit treatment costs in underutilized plants—particularly the 8 of 32 plant groups operating below a 5000 t/year viability threshold. A rationalization analysis shows that consolidating 14 redundant co-located facilities could save approximately 303,000 €/year (4.5% of system cost) without increasing transport distances. Consequently, the polluter pays principle (PPP), while theoretically sound, functions as a territorially regressive mechanism, disproportionately penalizing small producers in geographically isolated municipalities. The analysis provides a reproducible diagnostic foundation and supports a shift from proximity-based allocation toward a regional efficiency and equity framework, including territorial cost adjustments, inter-municipal cooperation, and plant-network rationalization.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 3","pages":"Article 100355"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148951658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing a socio-ecological synergy framework for sustainable waste management in ethnic communities","authors":"Chalermsak Raksa,&nbsp;Surasak Jotaworn,&nbsp;Issara Siramaneerat","doi":"10.1016/j.wmb.2026.100367","DOIUrl":"10.1016/j.wmb.2026.100367","url":null,"abstract":"<div><div>Sustainable waste management in ethnic communities remains a persistent challenge due to geographical constraints, limited infrastructure, and the complex interaction of socio-cultural and governance factors. Existing studies have predominantly focused on technical and behavioral dimensions, with limited attention to the relationships among governance systems, cultural capital, and community participation. This study examined sustainable waste management behavior and developed a community-based framework for ethnic communities in Nan Province, Thailand. A sequential mixed-methods design was employed with integration occurring at the interpretation stage. Qualitative data were obtained through semi-structured interviews with eight key informants from three local administrative organizations (LAOs) and analyzed using thematic content analysis. Quantitative data were collected from 420 ethnic community residents and analyzed using descriptive statistics, Pearson correlation, multiple regression, and mediation analysis. The regression model explained 20.7% of the variance in sustainable waste management behavior (R² = 0.207). Perceived information exposure was the strongest positive predictor (β = 0.293, <em>p</em> &lt; .001), whereas environmental knowledge showed a small but significant negative association (β = −0.128, <em>p</em> = .005). A statistically significant indirect association between attitudes and behavior through perceived information exposure was also observed (B = 0.085, 95% bootstrap CI [0.033, 0.148]). Qualitative findings highlighted governance continuity, cultural leadership, community participation, and locally embedded practices as important dimensions of local waste management. Integration of both strands informed the provisional Socio-Ecological Synergy Framework, linking institutional, socio-cultural, and behavioral dimensions of sustainable waste management.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 3","pages":"Article 100367"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148951653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Household food waste across multiple food groups in Dodoma, Tanzania: A Multinomial Probit approach","authors":"Denis M. Silayo ,&nbsp;Mary Kulwijila ,&nbsp;Abiud J. Bongole","doi":"10.1016/j.wmb.2025.100276","DOIUrl":"10.1016/j.wmb.2025.100276","url":null,"abstract":"<div><div>Food waste (FdW) undermines food security both directly and indirectly by disrupting sustainable food systems. Understanding the root causes of FdW and its effects across multiple dimensions is crucial. Despite extensive global research, studies focusing on Household Food Waste (HFdW) in Tanzania remain limited. This study addresses that gap by analyzing the determinants of FdW generation across combinations of Food Groups (FGs) in Dodoma, Tanzania. A cross-sectional survey of 402 households was conducted to collect data on FdW-related behaviors and preferences. Principal Component Analysis (PCA) with varimax rotation was applied to reduce dimensionality, revealing that Cereals, Legumes &amp; Pulses, and Roots &amp; Tubers contributed most strongly to the retained components that capture the main variation in HFdW patterns. Each group was then dichotomized into high or low waste based on the median, and the resulting binary indicators were combined to create eight possible FdW patterns, representing all combinations of waste intensity across the three groups. These FdW patterns formed the dependent variable in a Multinomial Probit Regression Model (MPRM). The model revealed that demographic factors such as higher education, female-headed, and older households were associated with lower HFdW. Behavioural practices, including meal planning and leftover reuse, also reduced waste, while attitudinal factors such as greater awareness of FdW impacts further reinforced this effect. In contrast, weaker perceptions of money value were linked to higher FdW levels. The findings highlight the importance of behavioral and contextual factors in shaping HFdW. Policymakers should consider targeted strategies such as meal planning support, storage and handling education, and gender-responsive interventions to reduce FdW and enhance food security in Tanzania and other low-resource settings.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100276"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing cocoa waste for biochar production and emission reduction to promote sustainability in West Africa","authors":"Kassé Jean Hugues Angbé ,&nbsp;Dennis Krüger ,&nbsp;Volker Lenz ,&nbsp;Satyanarayana Narra","doi":"10.1016/j.wmb.2026.100282","DOIUrl":"10.1016/j.wmb.2026.100282","url":null,"abstract":"<div><div>West Africa is a key player in cocoa cultivation, accounting for approximately 70% of world cocoa bean production. However, cocoa pod husk (CPH), an important by-product, remains largely underutilized. Therefore, this study provides the first comprehensive, multi-country assessment of CPH generation across seven major West African cocoa-producing countries namely Côte d'Ivoire, Ghana, Nigeria, Sierra Leone, Liberia, Guinea, and Togo over a 20-year period. It further assesses current management pathways and their environmental implications, with an evaluation of biochar as valorization approach. The data used in this study was gathered through field surveys and quantitative secondary data from FAOSTAT. Methane (CH₄) emissions from decomposition of CPH were estimated based on IPCC methodologies, while biochar potential and carbon sequestration capacity were determined using established equations. The results showed that in 20 years, a total of 578 million tonnes of CPH were produced, with Côte d'Ivoire contributing the largest share with 331 million tonnes, followed by Ghana with 160 million tonnes. At present, on-farm abandonment remains the predominant management practice, emitting an estimated 17 million tonnes of carbon dioxide equivalent (CO₂-eq) annually representing about 3% of Africa’s agricultural CH₄ emissions. Conversion of this biomass into biochar represents a significant mitigation opportunity. The estimated annual production potential of CPH-biochar is 869 thousand tonnes, capable of sequestering about 1.59 million tonnes of CO₂-eq per year. Adopting this approach could reduce greenhouse gas (GHG) emissions more than 18 million tonnes of CO₂-eq, including avoided emissions and carbon sequestration. These findings highlight the importance of CPH-biochar production as a promising strategy for sustainable waste management.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100282"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Valorization of contaminated Eichhornia crassipes in phytoremediation of tannery waters: Bioethanol production","authors":"Gianella Paredes,&nbsp;Stefani Gonzales,&nbsp;Alejandra Lázaro,&nbsp;Rosario Benegas","doi":"10.1016/j.wmb.2025.100268","DOIUrl":"10.1016/j.wmb.2025.100268","url":null,"abstract":"<div><div>In this research, a sustainable system to obtain bioethanol from Eichhornia crassipes biomass contaminated with total chromium was developed A phytoremediation system was applied in order to remove chromium from tannery wastewater, using the resulting biomass as raw material. The dry biomass (DS) was subjected to an optimized pretreatment using a Box–Behnken experimental design in which 45 treatments were evaluated. The structural changes in the biomass were characterized by SEM and FTIR. After this, hydrolysis with 3 % H₂SO₄ using a steam explosion was performed. Chromium retention was higher in roots (99.29 %), leaves and stems (94.14 %). Treatment using C₀ = 1.56 % had the highest removal efficiency (R = 95.51 %), followed by 3.13 % (93.47 %). Regarding valorization, the bioethanol yield reached 71.35 % in relation to reducing sugars and 0.12 mL/g with respect to the initial biomass. These results confirm the feasibility of integrating phytoremediation with bioethanol production as a sustainable alternative for treating tannery effluents.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100268"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145652052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing circular Textiles: MLR-Based optimization of tri-blend Melange yarns from sustainable fibers","authors":"Md.Nasir Uddin ,&nbsp;Tanzeena Refat Tumpa ,&nbsp;Mohammad Rashel Hawlader ,&nbsp;G.M. Faysal ,&nbsp;Ahmed Jalal Uddin","doi":"10.1016/j.wmb.2025.100277","DOIUrl":"10.1016/j.wmb.2025.100277","url":null,"abstract":"<div><div>The growing demand for sustainable textiles has prompted research into fiber blends that reduce environmental impact without compromising product performance. This study focuses on creating a sustainable tri-blend yarn consisted of recycled cotton, recycled polyester, and Tencel fibers. Recycled cotton replaces virgin cotton, recycled polyester enables the reuse of PET bottle and textile waste, and Tencel—derived from sustainably sourced wood pulp—enhances softness, comfort and tensile properties. MATLAB was used to perform Multiple Linear Regression (MLR) analysis to determine the optimal blend ratio that maximizes recycled fiber content while ensuring required yarn characteristics for fabric production. Based on Extreme Vertices Design, twenty-nine yarn samples with varying blend ratios were produced. Their quality parameters were evaluated, and the impacts of fiber composition on yarn properties were analyzed using Multiple Linear Regression (MLR) models. The MLR models generated predictive equations for each yarn parameter and performed blend optimization through two approaches: criteria-based optimization, which minimized yarn unevenness and imperfections while maximizing tensile properties, and target-based optimization, which aligned blends with the specific requirements of buyer or consumer. Validation of the optimized blends confirmed the model’s predictive reliability, with deviations between predicted and actual values remaining below 5%.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100277"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}